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- Q652594 subject Q17093910.
- Q652594 subject Q8296777.
- Q652594 abstract "Hierarchical temporal memory (HTM) is an unsupervised to semi-supervised online machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world.Jeff Hawkins states that HTM does not present any new idea or theory, but combines existing ideas to mimic the neocortex with a simple design that provides a large range of capabilities. HTM combines and extends approaches used in Sparse distributed memory, Bayesian networks, spatial and temporal clustering algorithms, while using a tree-shaped hierarchy of nodes that is common in neural networks.".
- Q652594 thumbnail HTM_Hierarchy_example.png?width=300.
- Q652594 wikiPageExternalLink viewtopic.php?t=255.
- Q652594 wikiPageExternalLink HTM_TR_v1.0.pdf.
- Q652594 wikiPageExternalLink fullprogram.
- Q652594 wikiPageExternalLink 0,39020439,39268542,00.htm.
- Q652594 wikiPageExternalLink vision-toolkit.php.
- Q652594 wikiPageExternalLink neocortex.
- Q652594 wikiPageExternalLink 4982.
- Q652594 wikiPageExternalLink vicarious.com.
- Q652594 wikiPageExternalLink education.php.
- Q652594 wikiPageExternalLink Almaden%20Institute%20Jeff%20Hawkins.ppt.
- Q652594 wikiPageExternalLink 0,1540,1955963,00.asp.
- Q652594 wikiPageExternalLink fellows_interview_jeff_hawkins_tom_austin.jsp.
- Q652594 wikiPageExternalLink www.numenta.com.
- Q652594 wikiPageExternalLink Numenta_HTM_Concepts.pdf.
- Q652594 wikiPageExternalLink software.php.
- Q652594 wikiPageExternalLink HTM_CorticalLearningAlgorithms.pdf.
- Q652594 wikiPageExternalLink forum.
- Q652594 wikiPageExternalLink viewforum.php?f=3.
- Q652594 wikiPageExternalLink www.vitamindinc.com.
- Q652594 wikiPageExternalLink toolkit.html.
- Q652594 wikiPageExternalLink hawkins.html.
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- Q652594 wikiPageExternalLink numenta.com.
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- Q652594 comment "Hierarchical temporal memory (HTM) is an unsupervised to semi-supervised online machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence.".
- Q652594 label "Hierarchical temporal memory".
- Q652594 depiction HTM_Hierarchy_example.png.
